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Featured in Development

Peter Alvaro talks about the reasons one should engage in language design and why many of us would (or should) do something so perverse as to design a language that no one will ever use. He shares some of the extreme and sometimes obnoxious opinions that guided his design process.

Featured in AI, ML & Data Engineering

Today on The InfoQ Podcast, Wes talks with Katharine Jarmul about privacy and fairness in machine learning algorithms. Jarul discusses what’s meant by Ethical Machine Learning and some things to consider when working towards achieving fairness. Jarmul is the co-founder at KIProtect a machine learning security and privacy firm based in Germany and is one of the three keynote speakers at QCon.ai.

Featured in Culture & Methods

Organizations struggle to scale their agility. While every organization is different, common patterns explain the major challenges that most organizations face: organizational design, trying to copy others, “one-size-fits-all” scaling, scaling in siloes, and neglecting engineering practices. This article explains why, what to do about it, and how the three leading scaling frameworks compare.

Back in October 2017, Microsoft began supporting Java when porting Azure Functions to .NET Core 2.0. With the GA release of Azure Function version 2.0 a few months ago, Microsoft further improved the support for Java and other non-.NET languages through the use of a new language worker model and process - providing better performance, and version support. The Azure Functions team at Microsoft also added support for more comfortable authoring experiences for developers and a more robust platform.

Asavari Tayal, program manager, Azure Functions team at Microsoft, stated in a blog post on the GA of Java support in Azure Functions:

With this release, Functions is now ready to support Java workloads in production, backed by our 99.95 percent SLA for both the Consumption Plan and the App Service Plan. You can build your functions based on Java SE 8 LTS and the Functions 2.0 runtime, while being able to use the platform (Windows, Mac, or Linux) and tools of your choice. This enables a wide range of options for you to build and run your Java apps in the 50+ regions offered by Azure around the world.

Developers can use the Azure Functions Maven plugin to create, build, and deploy their Java functions from any Maven-enabled project. The open source Functions 2.0 runtime will enable developers to run and debug their functions locally on any platform, and developers can leverage the integration with Azure Pipelines or set up a Jenkins Pipeline to build their Java project and deploy it to Azure.

Once deployed, the Java function can be invoked via an HTTP request or scheduled as an event. Furthermore, data can be written back to the calling source without the developer having to deal with the underlying Java SDK.

Lastly, Microsoft is not the only public cloud provider supporting Java within its serverless compute service. Amazon, for instance, supports various languages, including Java, within AWS Lambda, and IBM offers a serverless platform OpenWhisk, which supports Java too.